@article{dad1d8e778cb40e29585eab771c2c4e7,
title = "Hydrometeorological observations and modeling of an extreme rainfall event using wrf and wrf-hydro during the relampago field campaign in Argentina",
abstract = "Some of the most intense convective storms on Earth initiate near the Sierras de C{\'o}rdoba mountain range in Argentina. The goal of the RELAMPAGO field campaign was to observe these intense convective storms and their associated impacts. The intense observation period (IOP) occurred during November–December 2018. The two goals of the hydrometeorological component of RELAMPAGO IOP were 1) to perform hydrological streamflow and meteorological observations in previously ungauged basins and 2) to build a hydrometeorological modeling system for hindcast and forecast applications. During the IOP, our team was able to construct the stage–discharge curves in three basins, as hydrological instrumentation and personnel were successfully deployed based on RELAMPAGO weather forecasts. We found that the flood response time in these river locations is typically between 5 and 6 h from the peak of the rain event. The satellite-observed rainfall product IMERG-Final showed a better representation of rain gauge–estimated precipitation, while IMERG-Early and IMERG-Late had significant positive bias. The modeling component focuses on the 48-h simulation of an extreme hydrometeorological event that occurred on 27 November 2018. Using the Weather Research and Forecasting (WRF) atmospheric model and its hydrologic component WRF-Hydro as an uncoupled hydrologic model, we developed a system for hindcast, deterministic forecast, and a 60-member ensemble forecast initialized with regional-scale atmospheric data assimilation. Critically, our results highlight that streamflow simulations using the ensemble forecasting with data assimilation provide realistic flash flood forecast in terms of timing and magnitude of the peak. Our findings from this work are being used by the water managers in the region.",
keywords = "Convective storms, Flood events, Forecast verification/skill, Hydrologic models, Hydrometeorology, Mesoscale models, Precipitation",
author = "Sujan Pal and Francina Dominguez and Dillon, {Mar{\'i}a Eugenia} and Javier Alvarez and Garcia, {Carlos Marcelo} and Nesbitt, {Stephen W.} and David Gochis",
note = "Funding Information: IMERG, GFS, and ERA5 data are available online. RELAMPAGO data are available from NCAR EOL online data archive. All model outputs, archived on a server maintained by University of Illinois School of Earth, Society, and Environment, are available upon request. Support for this study has been provided by the National Science Foundation (NSF) Grant 1641167 {\textquoteleft}{\textquoteleft}RELAMPAGO Hydrometeorology Component: Land Surface Controls on Heavy Precipitation and Flooding in the Carcara{\~n}{\'a} River Basin, Argentina{\textquoteright}{\textquoteright} and 1661799 {\textquoteleft}{\textquoteleft}Using RELAMPAGO Observations to Understand the Thermodynamic, Kinematic, and Dynamic Processes Leading to Heavy Precipitation.{\textquoteright}{\textquoteright} We are thankful to the University of C{\'o}rdoba and the Ministry of Public services form the C{\'o}rdoba province for providing the streamflow measuring instruments and technology. We acknowledge the Cheyenne HPC resources (doi:10.5065/D6RX99HX) from NCAR{\textquoteright}s Computational and Information Systems Laboratory, NSF (project code UIUC0012) for the RRR processing. PIDDEF 16/2014, PICT 2014-1000, PICT 2017-2033, and PICT 2018-3202 partially funded the RRR proj-ect. We are also very thankful for all the people involved from NCAR EOL, NCAR RAL, SMN, CIMA, University of Illinois, Colorado State University, University of Buenos Aires, University of Maryland, and RIKEN. We also thank Prof. Praveen Kumar (UIUC) for many fruitful discussions and inputs. We gratefully thank the three reviewers for their valuable comments and suggestions, which helped to improve the paper. The authors declare no conflict of interest. Funding Information: Acknowledgments. IMERG, GFS, and ERA5 data are available online. RELAMPAGO data are available from NCAR EOL online data archive. All model outputs, archived on a server maintained by University of Illinois School of Earth, Society, and Environment, are available upon request. Support for this study has been provided by the National Science Foundation (NSF) Grant 1641167 {\textquoteleft}{\textquoteleft}RELAMPAGO Hydrometeorology Component: Land Surface Controls on Heavy Precipitation and Flooding in the Carcara{\~n}{\'a} River Basin, Argentina{\textquoteright}{\textquoteright} and 1661799 {\textquoteleft}{\textquoteleft}Using RELAMPAGO Observations to Understand the Thermodynamic, Kinematic, and Dynamic Processes Leading to Heavy Precipitation.{\textquoteright}{\textquoteright} We are thankful to the University of C{\'o}rdoba and the Ministry of Public services form the C{\'o}rdoba province for providing the streamflow measuring instruments and technology. We acknowledge the Cheyenne HPC resources (doi:10.5065/D6RX99HX) from NCAR{\textquoteright}s Computational and Information Systems Laboratory, NSF (project code UIUC0012) for the RRR processing. PIDDEF 16/2014, PICT 2014-1000, PICT 2017-2033, and PICT 2018-3202 partially funded the RRR project. We are also very thankful for all the people involved from NCAR EOL, NCAR RAL, SMN, CIMA, University of Illinois, Colorado State University, University of Buenos Aires, University of Maryland, and RIKEN. We also thank Prof. Praveen Kumar (UIUC) for many fruitful discussions and inputs. We gratefully thank the three reviewers for their valuable comments and suggestions, which helped to improve the paper. The authors declare no conflict of interest. Publisher Copyright: {\textcopyright} 2021 American Meteorological Society.",
year = "2021",
month = feb,
doi = "10.1175/JHM-D-20-0133.1",
language = "English (US)",
volume = "22",
pages = "331--351",
journal = "Journal of Hydrometeorology",
issn = "1525-755X",
publisher = "American Meteorological Society",
number = "2",
}